Real-time Analytics News for the Week Ending April 26
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Transforming Data Chaos into Clarity with A Semantic Layer
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
AI Brings Manufacturing into the Real-Time Realm
Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing
How AI Enhances Master Data Accuracy in Enterprise ERP Systems
Key advancements in AI-powered master data management within ERP systems enhances data accuracy, streamline business operations, and improves decision-making …
Building an Internal Data Marketplace That Delivers: 10 Essential Steps for Success
An internal data marketplace is the missing handshake between builders and consumers. Following these critical steps for building a marketplace will empower …
Data vs. Metadata: The Overlooked Challenge in Data Management
As organizations continue to rely on data for critical operations and innovation, effective metadata management will be essential for ensuring accuracy, …
How Data and AI Improve Troubleshooting Workflows to Solve Problems Quickly
As industrial operations grow more complex, traditional troubleshooting methods are no longer sufficient. Organizations must embrace AI-driven, data-rich …
Revisiting Root Cause Analysis in the Age of AI
By leveraging AI and comprehensive data management, organizations can enhance the efficiency and effectiveness of root cause analysis in industrial operations, …
6Q4: Unstructured Data Management Tips in the AI Era
As enterprises embrace AI, they face mounting pressure to safeguard data integrity and uphold rigorous compliance standards. Centralized data management and …
Why Data Catalogs are Becoming Commodities…and What Comes Next
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and …